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MHyT! pronounced (my-tee), is a statistical program performing advanced multiple hypothesis testing
in a randomization-permutation framework.
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MHyT! has been specifically conceived to work with the Low-Resolution Electromagnetic Tomograpy (LORETA)
data (Pascual-Marqui, 1999; Pascual-Marqui, Michel, and Lehmann, 1994), quantitative Electroencephalographic (qEEG) data,
and ERP data, but could be used with any suitable data-set.
The problem solved by MHyT! is the evaluation of the differences of the central location (mean) for m variables (independent samples, correlated samples, and comparison to a population value) or the correlation between m variables and one single (X) variable. The unique characteristic of MHyT is the ability of simultaneously testing for m variables in k dimensions. This is particularly useful with this kind of data since electrophysiological measurements are usually derived in several frequency or time dimensions. The program also features several graphic tools. The input data have to have a compatible format. For LORETA data the program supports many additional features.
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Nova Tech EEG, Inc * Mesa, Arizona * USA * (480) 219-3048
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